Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

The description discloses the key behavioral trait that comments are attributed to 'Clueso AI' rather than the user, which is not evident from the annotations alone. Annotations already indicate that the tool is not read-only, not destructive, and not open-world, so the description adds value by revealing the attribution behavior. No contradictions with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is two sentences long, with the first sentence stating the core action and attribution, and the second sentence explaining the two usage modes. Every sentence adds value, and there is no redundant or extraneous information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's moderate complexity (4 parameters, 2 required, no output schema, no nested objects), the description covers the essential behavioral aspects and usage contexts. It does not explain the return value, but with no output schema, the agent can infer success/failure from typical API patterns. It is complete enough for correct invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema already provides 100% coverage for all four parameters with clear descriptions, so the baseline is a 3. The description does not add any additional semantic detail beyond what the schema offers—it only restates the purpose of clip_id and clip_timestamp in context. No deduction or bonus is warranted.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('post a review comment'), the target ('on a project'), and the attribution ('Clueso AI'). It further distinguishes the two modes (project-level or pinned to a clip with an optional timestamp), which adds precision and helps differentiate it from any sibling tool.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description explains when to use this tool—'to leave feedback, suggestions, or notes'—and explicitly describes the two usage contexts (project-level vs. pinned to a clip). It does not mention when NOT to use it or list any alternative sibling tools, which is acceptable given the clear context and the lack of obvious overlapping tools in the sibling list.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.